Publications by authors named "Gita A Pathak"

The heterogeneity of Alzheimer's disease (AD) is multi-dimensional, encompassing clinical features such as neuropsychiatric symptoms (NPS), rate of progression, age of onset, comorbidities, and neuropathological features such as co-pathologies, and represents the diverse outcomes of manifold genetic and environmental risk determinants. These diverse features of AD also vary significantly between sexes and across ancestral backgrounds, but the specific variations and causal mechanisms are not well understood. Recent technological advances, particularly single-cell and spatial omics, have provided new tools to dissect the molecular underpinnings of AD heterogeneity and its multifactorial nature.

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Patients with post-traumatic stress disorder face increased cardiovascular risk. This study examines shared genetic regions between post-traumatic stress disorder and 246 cardiovascular conditions across electronic health records, 82 cardiac imaging, and health behaviors defined by Life's Essential 8. Post-traumatic stress disorder is genetically correlated with cardiovascular diagnoses in 33 regions, imaging traits in 4 regions, and health behaviors in 44 regions.

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DNA methylation clocks, which measure biological age by analyzing age-related DNA methylation patterns, offer powerful biomarkers of aging. But as a recent preprint highlights, current models underperform in diverse populations. The next generation of clocks must prioritize equity to avoid reinforcing disparities in precision aging and disease risk prediction.

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Introduction: Limited information is available regarding sex differences in the relationship of socioeconomic status and cognitive performance with Alzheimer's disease and related dementias (ADRD) family history.

Methods: Leveraging the UK Biobank (N = 448,100) and All of Us Research Program (N = 240,319), we conducted observational and genetically informed analyses to test the sex-specific associations of socioeconomic factors and cognitive performance with ADRD and its family history.

Results: Observational and genetically informed analyses highlighted that higher socioeconomic status and cognitive performance were associated with reduced ADRD and sibling-ADRD family history.

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Gulf War Illness (GWI) is a multi-symptom chronic condition that affects Veterans who served in the 1990-1991 Gulf War (GW). To generate novel information about GWI pathogenesis, we used genome-wide data available from 33 523 Veterans of diverse ancestral backgrounds who served during the 1990-1991 Gulf War era (34% deployed). Polygenic score (PGS) analysis showed GWI pleiotropy for several traits with the strongest evidence for type-2 diabetes (T2D), anxiety, and depression.

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Background: To understand the pathogenetic mechanisms shared among schizophrenia (SCZ), bipolar disorder (BP), and major depression (MDD), we investigated the pleiotropic mechanisms using large-scale genome-wide and brain transcriptomic data.

Methods: We analyzed SCZ, BP, and MDD genome-wide association datasets available from the Psychiatric Genomics Consortium using the PLEIO framework and characterized the pleiotropic loci identified using pathway and tissue enrichment analyses. Pleiotropic and disorder-specific loci were also assessed.

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Background: The development of posttraumatic stress disorder (PTSD) is attributable to the interplay between exposure to severe traumatic events, environmental factors, and biological characteristics. Blood and brain imaging markers have been associated with PTSD. However, to our knowledge, no study has systematically investigated the genetic relationship between PTSD, metabolic biomarkers, and brainwide imaging.

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This study investigated the genetic and epigenetic mechanisms underlying the comorbidity of five substance dependence diagnoses (SDs; alcohol, AD; cannabis, CaD; cocaine, CoD; opioid, OD; tobacco, TD). A latent class analysis (LCA) was performed on 22,668 individuals from six cohorts to identify comorbid DSM-IV SD patterns. In subsets of this sample, we tested SD-latent classes with respect to polygenic overlap of psychiatric and psychosocial traits in 7659 individuals of European descent and epigenome-wide changes in 886 individuals of African, European, and Admixed-American descents.

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Experiencing a traumatic event may lead to Posttraumatic Stress Disorder (PTSD), including symptoms such as flashbacks and hyperarousal. Individuals suffering from PTSD are at increased risk of cardiovascular disease (CVD), but it is unclear why. This study assesses shared genetic liability and potential causal pathways between PTSD and CVD.

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This study explores the genetic and epidemiologic correlates of long-term photoplethysmography-derived pulse rate variability (PRV) measurements with anxiety disorders. Individuals with whole-genome sequencing, Fitbit, and electronic health record data (N = 920; 61,333 data points) were selected from the All of Us Research Program. Anxiety polygenic risk scores (PRS) were derived with PRS-CS after meta-analyzing anxiety genome-wide association studies from three major cohorts- UK Biobank, FinnGen, and the Million Veterans Program (N =364,550).

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Objective: This study investigated the genetic and epigenetic mechanisms underlying the comorbidity patterns of five substance dependence diagnoses (SDs; alcohol, AD; cannabis, CaD; cocaine, CoD; opioid, OD; tobacco, TD).

Methods: A latent class analysis (LCA) was performed on 31,197 individuals (average age 42±11 years; 49% females) from six cohorts to identify comorbid DSM-IV SD patterns. In subsets of this sample, we tested SD-latent classes with respect to polygenic burden of psychiatric and behavioral traits and epigenome-wide changes in three population groups.

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Article Synopsis
  • * Polygenic risk scores from European individuals were found to correlate with anxiety in other groups, including African and East Asian populations, indicating shared genetic factors.
  • * The study revealed that anxiety is linked to specific brain areas and has genetic ties to other mental health conditions, underscoring the need for diverse population research and multi-omics approaches.
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Background: Patients with post-traumatic stress disorder (PTSD) experience higher risk of adverse cardiovascular (CV) outcomes. This study explores shared loci, and genes between PTSD and CV conditions from three major domains: CV diagnoses from electronic health records (CV-EHR), cardiac and aortic imaging, and CV health behaviors defined in Life's Essential 8 (LE8).

Methods: We used genome-wide association study (GWAS) of PTSD (N=1,222,882), 246 CV diagnoses based on EHR data from Million Veteran Program (MVP; N=458,061), UK Biobank (UKBB; N=420,531), 82 cardiac and aortic imaging traits (N=26,893), and GWAS of traits defined in the LE8 (N = 282,271 ~ 1,320,016).

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Background: Previous epidemiological research has linked posttraumatic stress disorder (PTSD) with specific physical health problems, but the comprehensive landscape of medical conditions associated with PTSD remains uncharacterized. Electronic health records provide an opportunity to overcome clinical knowledge gaps and uncover associations with biological relevance that potentially vary by sex.

Methods: PTSD was defined among biobank participants ( = 145,959) in 3 major healthcare systems using 2 ICD code-based definitions: broad (≥1 PTSD or acute stress codes vs.

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Introduction: While higher socioeconomic factors (SEF) and cognitive performance (CP) have been associated with reduced Alzheimer's disease (AD) risk, recent evidence highlighted that these factors may have opposite effects on family history of AD (FHAD).

Methods: Leveraging data from the UK Biobank (N=448,100) and the All of Us Research Program (N=240,319), we applied generalized linear regression models, polygenic risk scoring (PRS), and one-sample Mendelian randomization (MR) to test the sex-specific SEF and CP associations with AD and FHAD.

Results: Observational and genetically informed analyses highlighted that higher SEF and CP were associated with reduced AD and sibling-FHAD, while these factors were associated with increased parent-FHAD.

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Background And Hypothesis: Individuals with schizophrenia (SCZ) suffer from comorbidities that substantially reduce their life expectancy. Socioeconomic inequalities could contribute to many of the negative health outcomes associated with SCZ.

Study Design: We investigated genome-wide datasets related to SCZ (52 017 cases and 75 889 controls) from the Psychiatric Genomics Consortium, household income (HI; N = 361 687) from UK Biobank, and 2202 medical endpoints assessed in up to 342 499 FinnGen participants.

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Article Synopsis
  • PTSD genetics have been difficult to study compared to other psychiatric disorders, limiting our biological understanding of the condition.
  • A large-scale meta-analysis involving over 1.2 million individuals identified 95 genome-wide significant loci, with 80 being new discoveries related to PTSD.
  • Researchers identified 43 potential causal genes linked to neurotransmitter activity, developmental processes, synaptic function, and immune regulation, enhancing our knowledge of the neurobiological systems involved in PTSD.
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To examine whether severe Gulf War illness (SGWI) case status was associated with longitudinal multimorbidity patterns. Participants were users of the Veteran Health Administration Health Care System drawn from the Gulf War Era Cohort and Biorepository ( = 840). Longitudinal measures of multimorbidity were constructed using (1) electronic health records (Charlson Comorbidity Index; Elixhauser; and Veterans Affairs Frailty Index) from 10/1/1999 to 6/30/2023 and (2) self-reported medical conditions (Deficit Accumulation Index) since the war until the survey date.

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Background And Aims: Experiencing a traumatic event may lead to Posttraumatic Stress Disorder (PTSD), including symptoms such as flashbacks and hyperarousal. Individuals suffering from PTSD are at increased risk of cardiovascular disease (CVD), but it is unclear why. This study assesses shared genetic liability and potential causal pathways between PTSD and CVD.

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Article Synopsis
  • Coding mutations in the Transthyretin (TTR) gene lead to hereditary amyloidosis, showing varied clinical outcomes across different global populations.
  • A study involved 676 individuals with TTR mutations compared to 12,430 non-carriers, analyzing their health records to identify specific disease associations.
  • Findings indicated distinct correlations between TTR mutations and health issues based on ancestry, such as circulatory system problems in those of African descent and dermatologic issues in Central-South Asians.
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Hearing difficulty (HD) is a major health burden in older adults. While ageing-related changes in the peripheral auditory system play an important role, genetic variation associated with brain structure and function could also be involved in HD predisposition. We analysed a large-scale HD genome-wide association study (GWAS; ntotal = 501 825, 56% females) and GWAS data related to 3935 brain imaging-derived phenotypes (IDPs) assessed in up to 33 224 individuals (52% females) using multiple MRI modalities.

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Article Synopsis
  • * Polygenic risk scores from European individuals showed links to anxiety in diverse groups like African and East Asian populations, indicating the genetic factors may be shared across ancestries.
  • * The study found higher heritability of anxiety linked to brain regions involved in emotion and cognition, along with relationships to other mental health disorders and some physical health issues, emphasizing the need for diverse population analyses and comprehensive genetic approaches.
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Background: There is still a limited understanding of the dynamics contributing to the comorbidity of COVID-19 and anxiety outcomes.

Methods: To dissect the pleiotropic mechanisms contributing to COVID-19/anxiety comorbidity, we used genome-wide data from UK Biobank (up to 420,531 participants), FinnGen Project (up to 329,077 participants), Million Veteran Program (175,163 participants), and COVID-19 Host Genetics Initiative (up to 122,616 cases and 2,475,240 controls). Specifically, we assessed global and local genetic correlation and genetically inferred effects linking COVID-19 outcomes (infection, hospitalization, and severe respiratory symptoms) to anxiety disorders and symptoms.

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